




import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


lowerCAmelCase_						 =					logging.get_logger(__name__)
class 		_A   (    _lowerCamelCase ):






  def __init__(    self						:      List[Any] ,		*_A						:      List[Any] ,		**_A						:      Union[str, Any] )						->       int:






       """simple docstring"""







       warnings.warn(
           '''The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
           ''' Please use DeformableDetrImageProcessor instead.''' ,		_A ,		)
       super().__init__(*_A ,		**_A )



def 							UpperCamelCase_(					_A :Union[str, Any]	)->		List[str]:
			UpperCamelCase__       =							[0] * len(_A	)
			UpperCamelCase__       =							[]
			UpperCamelCase__       =							[]
			UpperCamelCase__       =							0

			for values in graph.values():
						for i in values:
									indegree[i] += 1

			for i in range(len(_A	)	):
						if indegree[i] == 0:
									queue.append(_A	)

			while queue:
						UpperCamelCase__       =							queue.pop(0	)
						cnt += 1
						topo.append(_A	)
						for x in graph[vertex]:
									indegree[x] -= 1
									if indegree[x] == 0:
												queue.append(_A	)

			if cnt != len(_A	):
						print("Cycle exists"	)
			else:
						print(_A	)


# Adjacency List of Graph
__UpperCamelCase     		=							{0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}







topological_sort(graph)


